Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 2014 |
| Missing cells | 43 |
| Missing cells (%) | 0.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 438.2 KiB |
| Average record size in memory | 222.8 B |
Variable types
| Categorical | 2 |
|---|---|
| Numeric | 10 |
Country name has a high cardinality: 152 distinct values | High cardinality |
Ladder score is highly correlated with Logged GDP per capita and 4 other fields | High correlation |
Logged GDP per capita is highly correlated with Ladder score and 2 other fields | High correlation |
Social support is highly correlated with Ladder score and 2 other fields | High correlation |
Healthy life expectancy is highly correlated with Ladder score and 2 other fields | High correlation |
Freedom to make life choices is highly correlated with Ladder score and 1 other fields | High correlation |
Positive affect is highly correlated with Ladder score and 1 other fields | High correlation |
Ladder score is highly correlated with Logged GDP per capita and 4 other fields | High correlation |
Logged GDP per capita is highly correlated with Ladder score and 2 other fields | High correlation |
Social support is highly correlated with Ladder score and 2 other fields | High correlation |
Healthy life expectancy is highly correlated with Ladder score and 2 other fields | High correlation |
Freedom to make life choices is highly correlated with Ladder score and 1 other fields | High correlation |
Positive affect is highly correlated with Ladder score and 1 other fields | High correlation |
Ladder score is highly correlated with Logged GDP per capita and 2 other fields | High correlation |
Logged GDP per capita is highly correlated with Ladder score and 2 other fields | High correlation |
Social support is highly correlated with Ladder score and 1 other fields | High correlation |
Healthy life expectancy is highly correlated with Ladder score and 1 other fields | High correlation |
Regional indicator is highly correlated with Ladder score and 7 other fields | High correlation |
Ladder score is highly correlated with Regional indicator and 6 other fields | High correlation |
Logged GDP per capita is highly correlated with Regional indicator and 7 other fields | High correlation |
Social support is highly correlated with Regional indicator and 6 other fields | High correlation |
Healthy life expectancy is highly correlated with Regional indicator and 5 other fields | High correlation |
Freedom to make life choices is highly correlated with Regional indicator and 6 other fields | High correlation |
Generosity is highly correlated with Regional indicator and 1 other fields | High correlation |
Perceptions of corruption is highly correlated with Regional indicator and 5 other fields | High correlation |
Positive affect is highly correlated with Regional indicator and 5 other fields | High correlation |
Negative affect is highly correlated with Positive affect | High correlation |
Regional indicator has 43 (2.1%) missing values | Missing |
Ladder score has unique values | Unique |
Social support has unique values | Unique |
Reproduction
| Analysis started | 2022-07-13 22:39:48.216354 |
|---|---|
| Analysis finished | 2022-07-13 22:40:00.101332 |
| Duration | 11.88 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 152 |
|---|---|
| Distinct (%) | 7.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 128.5 KiB |
| Zimbabwe | 16 |
|---|---|
| Mexico | 16 |
| Russia | 16 |
| Chile | 16 |
| Colombia | 16 |
| Other values (147) |
Length
| Max length | 24 |
|---|---|
| Median length | 7 |
| Mean length | 8.249255214 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Afghanistan |
|---|---|
| 2nd row | Afghanistan |
| 3rd row | Afghanistan |
| 4th row | Afghanistan |
| 5th row | Afghanistan |
Common Values
| Value | Count | Frequency (%) |
| Zimbabwe | 16 | 0.8% |
| Mexico | 16 | 0.8% |
| Russia | 16 | 0.8% |
| Chile | 16 | 0.8% |
| Colombia | 16 | 0.8% |
| Denmark | 16 | 0.8% |
| Dominican Republic | 16 | 0.8% |
| Ecuador | 16 | 0.8% |
| Egypt | 16 | 0.8% |
| El Salvador | 16 | 0.8% |
| Other values (142) | 1854 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| united | 46 | 1.9% |
| republic | 34 | 1.4% |
| south | 32 | 1.3% |
| and | 19 | 0.8% |
| congo | 19 | 0.8% |
| zimbabwe | 16 | 0.7% |
| turkey | 16 | 0.7% |
| bolivia | 16 | 0.7% |
| argentina | 16 | 0.7% |
| venezuela | 16 | 0.7% |
| Other values (164) | 2156 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 43 |
| Missing (%) | 2.1% |
| Memory size | 152.5 KiB |
| Sub-Saharan Africa | |
|---|---|
| Latin America and Caribbean | |
| Western Europe | |
| Middle East and North Africa | |
| Central and Eastern Europe | |
| Other values (5) |
Length
| Max length | 34 |
|---|---|
| Median length | 21 |
| Mean length | 21.46067986 |
| Min length | 9 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | South Asia |
|---|---|
| 2nd row | South Asia |
| 3rd row | South Asia |
| 4th row | South Asia |
| 5th row | South Asia |
Common Values
| Value | Count | Frequency (%) |
| Sub-Saharan Africa | 426 | |
| Latin America and Caribbean | 299 | |
| Western Europe | 284 | |
| Middle East and North Africa | 228 | |
| Central and Eastern Europe | 227 | |
| Commonwealth of Independent States | 171 | |
| Southeast Asia | 125 | 6.2% |
| South Asia | 89 | 4.4% |
| North America and ANZ | 62 | 3.1% |
| East Asia | 60 | 3.0% |
| (Missing) | 43 | 2.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| and | 816 | |
| africa | 654 | 10.6% |
| europe | 511 | 8.3% |
| sub-saharan | 426 | 6.9% |
| america | 361 | 5.9% |
| latin | 299 | 4.9% |
| caribbean | 299 | 4.9% |
| north | 290 | 4.7% |
| east | 288 | 4.7% |
| western | 284 | 4.6% |
| Other values (11) | 1916 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
year
Real number (ℝ≥0)
| Distinct | 17 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2013.765641 |
| Minimum | 2005 |
|---|---|
| Maximum | 2021 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 2005 |
|---|---|
| 5-th percentile | 2006 |
| Q1 | 2010 |
| median | 2014 |
| Q3 | 2018 |
| 95-th percentile | 2021 |
| Maximum | 2021 |
| Range | 16 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 4.49912407 |
|---|---|
| Coefficient of variation (CV) | 0.002234184544 |
| Kurtosis | -1.076824403 |
| Mean | 2013.765641 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | -0.09866183816 |
| Sum | 4055724 |
| Variance | 20.2421174 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 2021 | 143 | 7.1% |
| 2017 | 142 | 7.1% |
| 2011 | 139 | 6.9% |
| 2019 | 139 | 6.9% |
| 2014 | 138 | 6.9% |
| 2018 | 137 | 6.8% |
| 2015 | 136 | 6.8% |
| 2016 | 135 | 6.7% |
| 2012 | 134 | 6.7% |
| 2013 | 133 | 6.6% |
| Other values (7) | 638 |
| Value | Count | Frequency (%) |
| 2005 | 27 | 1.3% |
| 2006 | 86 | |
| 2007 | 99 | |
| 2008 | 107 | |
| 2009 | 108 | |
| 2010 | 119 | |
| 2011 | 139 | |
| 2012 | 134 | |
| 2013 | 133 | |
| 2014 | 138 |
| Value | Count | Frequency (%) |
| 2021 | 143 | |
| 2020 | 92 | |
| 2019 | 139 | |
| 2018 | 137 | |
| 2017 | 142 | |
| 2016 | 135 | |
| 2015 | 136 | |
| 2014 | 138 | |
| 2013 | 133 | |
| 2012 | 134 |
Ladder score
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIQUE| Distinct | 2014 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.47369654 |
| Minimum | 2.375091791 |
|---|---|
| Maximum | 8.01893425 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 2.375091791 |
|---|---|
| 5-th percentile | 3.675445497 |
| Q1 | 4.634406567 |
| median | 5.386819601 |
| Q3 | 6.309128642 |
| 95-th percentile | 7.392767453 |
| Maximum | 8.01893425 |
| Range | 5.643842459 |
| Interquartile range (IQR) | 1.674722075 |
Descriptive statistics
| Standard deviation | 1.126334817 |
|---|---|
| Coefficient of variation (CV) | 0.2057722435 |
| Kurtosis | -0.7301574873 |
| Mean | 5.47369654 |
| Median Absolute Deviation (MAD) | 0.8224008083 |
| Skewness | 0.06237489466 |
| Sum | 11024.02483 |
| Variance | 1.268630121 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3.723589897 | 1 | < 0.1% |
| 4.639647484 | 1 | < 0.1% |
| 7.444470882 | 1 | < 0.1% |
| 7.678277016 | 1 | < 0.1% |
| 7.632287502 | 1 | < 0.1% |
| 7.415682316 | 1 | < 0.1% |
| 5.101200104 | 1 | < 0.1% |
| 5.053664207 | 1 | < 0.1% |
| 5.015485287 | 1 | < 0.1% |
| 5.239834785 | 1 | < 0.1% |
| Other values (2004) | 2004 |
| Value | Count | Frequency (%) |
| 2.375091791 | 1 | |
| 2.522900105 | 1 | |
| 2.66171813 | 1 | |
| 2.687552929 | 1 | |
| 2.693061113 | 1 | |
| 2.693523169 | 1 | |
| 2.694303274 | 1 | |
| 2.701591253 | 1 | |
| 2.807855129 | 1 | |
| 2.83895874 | 1 |
| Value | Count | Frequency (%) |
| 8.01893425 | 1 | |
| 7.970891953 | 1 | |
| 7.889349937 | 1 | |
| 7.85810709 | 1 | |
| 7.842100143 | 1 | |
| 7.834233284 | 1 | |
| 7.788251877 | 1 | |
| 7.78823185 | 1 | |
| 7.780347824 | 1 | |
| 7.776208878 | 1 |
Logged GDP per capita
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 1995 |
|---|---|
| Distinct (%) | 99.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.361088469 |
| Minimum | 6.635322094 |
|---|---|
| Maximum | 11.64816856 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 6.635322094 |
|---|---|
| 5-th percentile | 7.369505835 |
| Q1 | 8.445964336 |
| median | 9.46169281 |
| Q3 | 10.35939288 |
| 95-th percentile | 10.92168541 |
| Maximum | 11.64816856 |
| Range | 5.01284647 |
| Interquartile range (IQR) | 1.913428545 |
Descriptive statistics
| Standard deviation | 1.159062399 |
|---|---|
| Coefficient of variation (CV) | 0.1238170542 |
| Kurtosis | -0.9003031859 |
| Mean | 9.361088469 |
| Median Absolute Deviation (MAD) | 0.9632906914 |
| Skewness | -0.3109951131 |
| Sum | 18853.23218 |
| Variance | 1.343425644 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 9.498387944 | 3 | 0.1% |
| 9.448779326 | 3 | 0.1% |
| 10.7562001 | 3 | 0.1% |
| 9.186201096 | 2 | 0.1% |
| 8.409006412 | 2 | 0.1% |
| 7.578436852 | 2 | 0.1% |
| 8.055038799 | 2 | 0.1% |
| 9.448143959 | 2 | 0.1% |
| 9.584374428 | 2 | 0.1% |
| 6.635322094 | 2 | 0.1% |
| Other values (1985) | 1991 |
| Value | Count | Frequency (%) |
| 6.635322094 | 2 | |
| 6.678227425 | 1 | |
| 6.718762398 | 1 | |
| 6.723308563 | 1 | |
| 6.728164196 | 1 | |
| 6.74191618 | 1 | |
| 6.748176098 | 1 | |
| 6.775823116 | 1 | |
| 6.78501606 | 1 | |
| 6.786983013 | 1 |
| Value | Count | Frequency (%) |
| 11.64816856 | 1 | |
| 11.64656448 | 1 | |
| 11.64491749 | 1 | |
| 11.64002991 | 1 | |
| 11.63357162 | 1 | |
| 11.61685276 | 1 | |
| 11.59828949 | 1 | |
| 11.59455585 | 1 | |
| 11.59170723 | 1 | |
| 11.57978916 | 1 |
Social support
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIQUE| Distinct | 2014 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.8127426532 |
| Minimum | 0.29018417 |
|---|---|
| Maximum | 0.9873434901 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 0.29018417 |
|---|---|
| 5-th percentile | 0.5689602554 |
| Q1 | 0.746827662 |
| median | 0.8366412818 |
| Q3 | 0.9060654044 |
| 95-th percentile | 0.9500172824 |
| Maximum | 0.9873434901 |
| Range | 0.6971593201 |
| Interquartile range (IQR) | 0.1592377424 |
Descriptive statistics
| Standard deviation | 0.1189236691 |
|---|---|
| Coefficient of variation (CV) | 0.1463238931 |
| Kurtosis | 1.108554122 |
| Mean | 0.8127426532 |
| Median Absolute Deviation (MAD) | 0.07576361299 |
| Skewness | -1.100305547 |
| Sum | 1636.863704 |
| Variance | 0.01414283906 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.4506623149 | 1 | < 0.1% |
| 0.7983050346 | 1 | < 0.1% |
| 0.9411619306 | 1 | < 0.1% |
| 0.9476574063 | 1 | < 0.1% |
| 0.9358789325 | 1 | < 0.1% |
| 0.9585112929 | 1 | < 0.1% |
| 0.8050611019 | 1 | < 0.1% |
| 0.750374198 | 1 | < 0.1% |
| 0.8146384954 | 1 | < 0.1% |
| 0.8489151597 | 1 | < 0.1% |
| Other values (2004) | 2004 |
| Value | Count | Frequency (%) |
| 0.29018417 | 1 | |
| 0.2909338176 | 1 | |
| 0.2913336754 | 1 | |
| 0.302955091 | 1 | |
| 0.319589138 | 1 | |
| 0.3256925344 | 1 | |
| 0.372907877 | 1 | |
| 0.3823735118 | 1 | |
| 0.3873909116 | 1 | |
| 0.4199728668 | 1 |
| Value | Count | Frequency (%) |
| 0.9873434901 | 1 | |
| 0.984940052 | 1 | |
| 0.9832860827 | 1 | |
| 0.9829378724 | 1 | |
| 0.9825217128 | 1 | |
| 0.9818245769 | 1 | |
| 0.9802832007 | 1 | |
| 0.9789652824 | 1 | |
| 0.9788397551 | 1 | |
| 0.9774295688 | 1 |
Healthy life expectancy
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 946 |
|---|---|
| Distinct (%) | 47.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 63.49355799 |
| Minimum | 32.29999924 |
|---|---|
| Maximum | 77.09999847 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 32.29999924 |
|---|---|
| 5-th percentile | 49.13299923 |
| Q1 | 58.72174931 |
| median | 65.23999786 |
| Q3 | 68.69999695 |
| 95-th percentile | 73.03399696 |
| Maximum | 77.09999847 |
| Range | 44.79999924 |
| Interquartile range (IQR) | 9.978247643 |
Descriptive statistics
| Standard deviation | 7.460396925 |
|---|---|
| Coefficient of variation (CV) | 0.1174984858 |
| Kurtosis | -0.0335410296 |
| Mean | 63.49355799 |
| Median Absolute Deviation (MAD) | 4.829998016 |
| Skewness | -0.7420575934 |
| Sum | 127876.0258 |
| Variance | 55.65752227 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 72.19999695 | 16 | 0.8% |
| 73 | 15 | 0.7% |
| 66.40000153 | 14 | 0.7% |
| 67.19999695 | 14 | 0.7% |
| 66.59999847 | 13 | 0.6% |
| 72.59999847 | 12 | 0.6% |
| 66.80000305 | 12 | 0.6% |
| 72.40000153 | 12 | 0.6% |
| 66.30000305 | 11 | 0.5% |
| 65.19999695 | 11 | 0.5% |
| Other values (936) | 1884 |
| Value | Count | Frequency (%) |
| 32.29999924 | 1 | |
| 36.86000061 | 1 | |
| 40.29999924 | 1 | |
| 40.38000107 | 1 | |
| 40.80829239 | 1 | |
| 40.90000153 | 1 | |
| 41.20000076 | 1 | |
| 41.41999817 | 1 | |
| 41.58000183 | 1 | |
| 42.09999847 | 1 |
| Value | Count | Frequency (%) |
| 77.09999847 | 1 | |
| 76.95285797 | 1 | |
| 76.80000305 | 1 | |
| 76.5 | 1 | |
| 76.19999695 | 1 | |
| 75.90000153 | 1 | |
| 75.68000031 | 1 | |
| 75.45999908 | 1 | |
| 75.19999695 | 1 | |
| 75.10044098 | 1 |
| Distinct | 2005 |
|---|---|
| Distinct (%) | 99.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.7454708345 |
| Minimum | 0.2575338185 |
|---|---|
| Maximum | 0.9851777554 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 0.2575338185 |
|---|---|
| 5-th percentile | 0.4841006339 |
| Q1 | 0.6505935639 |
| median | 0.7655630112 |
| Q3 | 0.8590308279 |
| 95-th percentile | 0.935854423 |
| Maximum | 0.9851777554 |
| Range | 0.7276439369 |
| Interquartile range (IQR) | 0.208437264 |
Descriptive statistics
| Standard deviation | 0.1404370849 |
|---|---|
| Coefficient of variation (CV) | 0.188387095 |
| Kurtosis | -0.1153692999 |
| Mean | 0.7454708345 |
| Median Absolute Deviation (MAD) | 0.1033967137 |
| Skewness | -0.6197164774 |
| Sum | 1501.378261 |
| Variance | 0.01972257482 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.7806917337 | 3 | 0.1% |
| 0.8873016189 | 3 | 0.1% |
| 0.7432071354 | 2 | 0.1% |
| 0.832002461 | 2 | 0.1% |
| 0.935542951 | 2 | 0.1% |
| 0.5133957735 | 2 | 0.1% |
| 0.68355757 | 2 | 0.1% |
| 0.6409526467 | 1 | < 0.1% |
| 0.5521737337 | 1 | < 0.1% |
| 0.5131839514 | 1 | < 0.1% |
| Other values (1995) | 1995 |
| Value | Count | Frequency (%) |
| 0.2575338185 | 1 | |
| 0.2600693107 | 1 | |
| 0.2868143916 | 1 | |
| 0.2946117818 | 1 | |
| 0.3035404086 | 1 | |
| 0.3061318994 | 1 | |
| 0.3145646155 | 1 | |
| 0.3324361145 | 1 | |
| 0.3333120942 | 1 | |
| 0.335223645 | 1 |
| Value | Count | Frequency (%) |
| 0.9851777554 | 1 | |
| 0.9838030338 | 1 | |
| 0.9799371362 | 1 | |
| 0.9711350203 | 1 | |
| 0.9702945352 | 1 | |
| 0.97013098 | 1 | |
| 0.9698979855 | 1 | |
| 0.9697883725 | 1 | |
| 0.9685804844 | 1 | |
| 0.9645611048 | 1 |
| Distinct | 1979 |
|---|---|
| Distinct (%) | 98.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.002602626237 |
| Minimum | -0.3350402415 |
|---|---|
| Maximum | 0.6980987787 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1157 |
| Negative (%) | 57.4% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | -0.3350402415 |
|---|---|
| 5-th percentile | -0.2272922955 |
| Q1 | -0.1160833836 |
| median | -0.02883870527 |
| Q3 | 0.08672024682 |
| 95-th percentile | 0.301271151 |
| Maximum | 0.6980987787 |
| Range | 1.03313902 |
| Interquartile range (IQR) | 0.2028036304 |
Descriptive statistics
| Standard deviation | 0.1605263059 |
|---|---|
| Coefficient of variation (CV) | -61.6785859 |
| Kurtosis | 0.9636199513 |
| Mean | -0.002602626237 |
| Median Absolute Deviation (MAD) | 0.1001072414 |
| Skewness | 0.8450921738 |
| Sum | -5.241689242 |
| Variance | 0.0257686949 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.1737086752 | 5 | 0.2% |
| -0.0583703852 | 4 | 0.2% |
| -0.1645325098 | 4 | 0.2% |
| 0.06571265229 | 3 | 0.1% |
| -0.005674132389 | 3 | 0.1% |
| -0.1280559258 | 3 | 0.1% |
| 0.08902724866 | 3 | 0.1% |
| -0.1625217497 | 2 | 0.1% |
| 0.02811283804 | 2 | 0.1% |
| -0.1367970556 | 2 | 0.1% |
| Other values (1969) | 1983 |
| Value | Count | Frequency (%) |
| -0.3350402415 | 1 | |
| -0.3164393008 | 1 | |
| -0.3065615594 | 1 | |
| -0.3050121963 | 1 | |
| -0.3049077392 | 1 | |
| -0.303203851 | 1 | |
| -0.3028769791 | 1 | |
| -0.2963664532 | 1 | |
| -0.2950957119 | 1 | |
| -0.2930517793 | 1 |
| Value | Count | Frequency (%) |
| 0.6980987787 | 1 | |
| 0.6893180013 | 1 | |
| 0.6875602007 | 1 | |
| 0.6794263721 | 1 | |
| 0.6500090957 | 1 | |
| 0.6449750662 | 1 | |
| 0.5611383915 | 1 | |
| 0.5553480387 | 1 | |
| 0.5525214076 | 1 | |
| 0.5415529609 | 1 |
| Distinct | 1956 |
|---|---|
| Distinct (%) | 97.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.7431455168 |
| Minimum | 0.03519798815 |
|---|---|
| Maximum | 0.9832760096 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 0.03519798815 |
|---|---|
| 5-th percentile | 0.3224171698 |
| Q1 | 0.6844315976 |
| median | 0.7984966338 |
| Q3 | 0.8670773506 |
| 95-th percentile | 0.9395506233 |
| Maximum | 0.9832760096 |
| Range | 0.9480780214 |
| Interquartile range (IQR) | 0.182645753 |
Descriptive statistics
| Standard deviation | 0.1847283093 |
|---|---|
| Coefficient of variation (CV) | 0.2485762278 |
| Kurtosis | 1.840528489 |
| Mean | 0.7431455168 |
| Median Absolute Deviation (MAD) | 0.08676663041 |
| Skewness | -1.472708633 |
| Sum | 1496.695071 |
| Variance | 0.03412454826 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.5355510637 | 12 | 0.6% |
| 0.6973793507 | 11 | 0.5% |
| 0.3716242835 | 10 | 0.5% |
| 0.5572106659 | 7 | 0.3% |
| 0.5813083649 | 6 | 0.3% |
| 0.823899591 | 6 | 0.3% |
| 0.6665929258 | 5 | 0.2% |
| 0.7858130932 | 4 | 0.2% |
| 0.8223771751 | 3 | 0.1% |
| 0.699585557 | 2 | 0.1% |
| Other values (1946) | 1948 |
| Value | Count | Frequency (%) |
| 0.03519798815 | 1 | |
| 0.04731115326 | 1 | |
| 0.06028206646 | 1 | |
| 0.06361488253 | 1 | |
| 0.06577527523 | 1 | |
| 0.06961960346 | 1 | |
| 0.07800018042 | 1 | |
| 0.08132489771 | 1 | |
| 0.08195857704 | 1 | |
| 0.09460446984 | 1 |
| Value | Count | Frequency (%) |
| 0.9832760096 | 1 | |
| 0.9829308987 | 1 | |
| 0.978800118 | 1 | |
| 0.9769173861 | 1 | |
| 0.976777494 | 1 | |
| 0.9763396382 | 1 | |
| 0.9760610461 | 1 | |
| 0.9736863375 | 1 | |
| 0.9727389812 | 1 | |
| 0.9726685882 | 1 |
| Distinct | 1998 |
|---|---|
| Distinct (%) | 99.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.7094965964 |
| Minimum | 0.3216897547 |
|---|---|
| Maximum | 0.9436206222 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 0.3216897547 |
|---|---|
| 5-th percentile | 0.5315361917 |
| Q1 | 0.6243742555 |
| median | 0.7206213091 |
| Q3 | 0.7991930693 |
| 95-th percentile | 0.8617822558 |
| Maximum | 0.9436206222 |
| Range | 0.6219308674 |
| Interquartile range (IQR) | 0.1748188138 |
Descriptive statistics
| Standard deviation | 0.1065838287 |
|---|---|
| Coefficient of variation (CV) | 0.1502245807 |
| Kurtosis | -0.6128895537 |
| Mean | 0.7094965964 |
| Median Absolute Deviation (MAD) | 0.08549230652 |
| Skewness | -0.3496562735 |
| Sum | 1428.926145 |
| Variance | 0.01136011254 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.6512210915 | 4 | 0.2% |
| 0.7701831568 | 3 | 0.1% |
| 0.7447225928 | 2 | 0.1% |
| 0.8028283545 | 2 | 0.1% |
| 0.5634631996 | 2 | 0.1% |
| 0.7216956973 | 2 | 0.1% |
| 0.6200288442 | 2 | 0.1% |
| 0.6615765426 | 2 | 0.1% |
| 0.5279637548 | 2 | 0.1% |
| 0.6454867537 | 2 | 0.1% |
| Other values (1988) | 1991 |
| Value | Count | Frequency (%) |
| 0.3216897547 | 1 | |
| 0.3513870537 | 1 | |
| 0.3624976873 | 1 | |
| 0.3694396019 | 1 | |
| 0.3842924535 | 1 | |
| 0.3869867027 | 1 | |
| 0.4209618866 | 1 | |
| 0.4222274721 | 1 | |
| 0.4229276478 | 1 | |
| 0.4241253138 | 1 |
| Value | Count | Frequency (%) |
| 0.9436206222 | 1 | |
| 0.9343736768 | 1 | |
| 0.9245609641 | 1 | |
| 0.9189370871 | 1 | |
| 0.9168009758 | 1 | |
| 0.9104969501 | 1 | |
| 0.9061784744 | 1 | |
| 0.9027721286 | 1 | |
| 0.9012679458 | 1 | |
| 0.8998123407 | 1 |
| Distinct | 2002 |
|---|---|
| Distinct (%) | 99.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2704943471 |
| Minimum | 0.08273695409 |
|---|---|
| Maximum | 0.7045896649 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 15.9 KiB |
Quantile statistics
| Minimum | 0.08273695409 |
|---|---|
| 5-th percentile | 0.155018121 |
| Q1 | 0.2094505131 |
| median | 0.2605855316 |
| Q3 | 0.3206253499 |
| 95-th percentile | 0.4176633283 |
| Maximum | 0.7045896649 |
| Range | 0.6218527108 |
| Interquartile range (IQR) | 0.1111748368 |
Descriptive statistics
| Standard deviation | 0.08293012886 |
|---|---|
| Coefficient of variation (CV) | 0.3065872901 |
| Kurtosis | 0.9281902378 |
| Mean | 0.2704943471 |
| Median Absolute Deviation (MAD) | 0.05407226544 |
| Skewness | 0.7360933287 |
| Sum | 544.775615 |
| Variance | 0.006877406274 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.3026270419 | 4 | 0.2% |
| 0.2866834551 | 2 | 0.1% |
| 0.3651427265 | 2 | 0.1% |
| 0.3360078118 | 2 | 0.1% |
| 0.2632163639 | 2 | 0.1% |
| 0.2622062457 | 2 | 0.1% |
| 0.3535443395 | 2 | 0.1% |
| 0.3418056135 | 2 | 0.1% |
| 0.2065132662 | 2 | 0.1% |
| 0.2441187449 | 2 | 0.1% |
| Other values (1992) | 1992 |
| Value | Count | Frequency (%) |
| 0.08273695409 | 1 | |
| 0.09269564599 | 1 | |
| 0.09341238439 | 1 | |
| 0.09431612492 | 1 | |
| 0.09549049288 | 1 | |
| 0.1034937948 | 1 | |
| 0.1061581746 | 1 | |
| 0.1068707779 | 1 | |
| 0.108305417 | 1 | |
| 0.1083661392 | 1 |
| Value | Count | Frequency (%) |
| 0.7045896649 | 1 | |
| 0.6425887346 | 1 | |
| 0.6222299337 | 1 | |
| 0.5993354917 | 1 | |
| 0.5905387402 | 1 | |
| 0.5812669396 | 1 | |
| 0.5697580576 | 1 | |
| 0.5636311173 | 1 | |
| 0.5570986867 | 1 | |
| 0.5542787313 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Country name | Regional indicator | year | Ladder score | Logged GDP per capita | Social support | Healthy life expectancy | Freedom to make life choices | Generosity | Perceptions of corruption | Positive affect | Negative affect | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | South Asia | 2008 | 3.723590 | 7.370100 | 0.450662 | 50.799999 | 0.718114 | 0.167640 | 0.881686 | 0.517637 | 0.258195 |
| 1 | Afghanistan | South Asia | 2009 | 4.401778 | 7.539972 | 0.552308 | 51.200001 | 0.678896 | 0.190099 | 0.850035 | 0.583926 | 0.237092 |
| 2 | Afghanistan | South Asia | 2010 | 4.758381 | 7.646709 | 0.539075 | 51.599998 | 0.600127 | 0.120590 | 0.706766 | 0.618265 | 0.275324 |
| 3 | Afghanistan | South Asia | 2011 | 3.831719 | 7.619532 | 0.521104 | 51.919998 | 0.495901 | 0.162427 | 0.731109 | 0.611387 | 0.267175 |
| 4 | Afghanistan | South Asia | 2012 | 3.782938 | 7.705479 | 0.520637 | 52.240002 | 0.530935 | 0.236032 | 0.775620 | 0.710385 | 0.267919 |
| 5 | Afghanistan | South Asia | 2013 | 3.572100 | 7.725029 | 0.483552 | 52.560001 | 0.577955 | 0.061148 | 0.823204 | 0.620585 | 0.273328 |
| 6 | Afghanistan | South Asia | 2014 | 3.130896 | 7.718354 | 0.525568 | 52.880001 | 0.508514 | 0.104013 | 0.871242 | 0.531691 | 0.374861 |
| 7 | Afghanistan | South Asia | 2015 | 3.982855 | 7.701992 | 0.528597 | 53.200001 | 0.388928 | 0.079864 | 0.880638 | 0.553553 | 0.339276 |
| 8 | Afghanistan | South Asia | 2016 | 4.220169 | 7.696560 | 0.559072 | 53.000000 | 0.522566 | 0.042265 | 0.793246 | 0.564953 | 0.348332 |
| 9 | Afghanistan | South Asia | 2017 | 2.661718 | 7.697381 | 0.490880 | 52.799999 | 0.427011 | -0.121303 | 0.954393 | 0.496349 | 0.371326 |
Last rows
| Country name | Regional indicator | year | Ladder score | Logged GDP per capita | Social support | Healthy life expectancy | Freedom to make life choices | Generosity | Perceptions of corruption | Positive affect | Negative affect | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004 | Zimbabwe | Sub-Saharan Africa | 2012 | 4.955101 | 7.983468 | 0.896476 | 49.540001 | 0.469531 | -0.102505 | 0.858691 | 0.669279 | 0.177311 |
| 2005 | Zimbabwe | Sub-Saharan Africa | 2013 | 4.690188 | 7.985391 | 0.799274 | 50.959999 | 0.575884 | -0.104101 | 0.830937 | 0.711885 | 0.182288 |
| 2006 | Zimbabwe | Sub-Saharan Africa | 2014 | 4.184451 | 7.991335 | 0.765839 | 52.380001 | 0.642034 | -0.073880 | 0.820217 | 0.725214 | 0.239111 |
| 2007 | Zimbabwe | Sub-Saharan Africa | 2015 | 3.703191 | 7.992339 | 0.735800 | 53.799999 | 0.667193 | -0.123171 | 0.810457 | 0.715079 | 0.178861 |
| 2008 | Zimbabwe | Sub-Saharan Africa | 2016 | 3.735400 | 7.984372 | 0.768425 | 54.400002 | 0.732971 | -0.094634 | 0.723612 | 0.737636 | 0.208555 |
| 2009 | Zimbabwe | Sub-Saharan Africa | 2017 | 3.638300 | 8.015738 | 0.754147 | 55.000000 | 0.752826 | -0.097645 | 0.751208 | 0.806428 | 0.224051 |
| 2010 | Zimbabwe | Sub-Saharan Africa | 2018 | 3.616480 | 8.048798 | 0.775388 | 55.599998 | 0.762675 | -0.068427 | 0.844209 | 0.710119 | 0.211726 |
| 2011 | Zimbabwe | Sub-Saharan Africa | 2019 | 2.693523 | 7.950132 | 0.759162 | 56.200001 | 0.631908 | -0.063791 | 0.830652 | 0.716004 | 0.235354 |
| 2012 | Zimbabwe | Sub-Saharan Africa | 2020 | 3.159802 | 7.828757 | 0.717243 | 56.799999 | 0.643303 | -0.008696 | 0.788523 | 0.702573 | 0.345736 |
| 2013 | Zimbabwe | Sub-Saharan Africa | 2021 | 3.144800 | 7.942595 | 0.750470 | 56.200840 | 0.676700 | -0.047346 | 0.820999 | 0.717712 | 0.224420 |